Design of a Sustainable Rescue and First Aid Drone-Based System for Passenger Car Occupants

Author:

Moyo Marvellous,Mushiri Tawanda,Noorbhai Habib

Abstract

AbstractMedical emergencies transpire in passenger cars where most victims fail to access immediate medical assistance bringing about worsening of their health or death. Incorporation of rescue and first aid drone-based systems in Emergency Medical Services has been proposed. The objectives being improving response time of Emergency Medical Services, assessing the victim’s health, assisting in administration of first aid, real time live feed of victim’s vitals to the responders and mainly to outline how sustainability in healthcare can be achieved through adaptation of the proposed system. The key features of the first aid drone-based system include: a compact, architecture, aerodynamically optimized architecture and high strength to weight ratio. Solid Works has been used for modelling and simulation of the proposed system. Results showed that the maximum stress (295MPa) experienced in the link is less than the yield strength of carbon fiber (1000MPa), therefore, the design is safe. Findings also showed that, the proposed system can help to further bridge the gap between technology and healthcare, hence making the current healthcare system more relevant in future. Recommendations have been made on improving the software design of the system. Further studies on the design of quadcopters with high range, payload, endurance and speed has been proposed. Overall, the research focused on how robotics, Artificial Intelligence, and Internet of Things (Industry 4.0) can been used to improve Emergency Medical Services response to health emergencies.

Publisher

Springer International Publishing

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3